Maximum a posteriori estimation by search in probabilistic programs

Maximum a posteriori estimation by search in probabilistic programs

We introduce an approximate search algorithm for fast maximum a posteriori probability estimation in probabilistic programs, which we call Bayesian ascent Monte Carlo (BaMC). Probabilistic programs represent probabilistic models with varying number of mutually dependent finite, countable, and contin...

书目详细资料
Main Authors:	Tolpin, D, Wood, F
格式:	Conference item
出版:	AAAI Publications 2015

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